Efficient Learning of Qualitative Descriptions for Sketch Recognition

@inproceedings{Lovett2006EfficientLO,
  title={Efficient Learning of Qualitative Descriptions for Sketch Recognition},
  author={Andrew M. Lovett and Morteza Dehghani and Kenneth D. Forbus},
  year={2006}
}
We are trying to solve the problem of learning to recognize objects in an open-domain sketching environment. Our system builds generalizations of objects based upon previous sketches of those objects and uses those generalizations to classify new sketches. We represent sketches qualitatively because we believe qualitative information provides a level of description that abstracts away details that distract from classification, such as exact dimensions. Bayesian reasoning is used in the process… CONTINUE READING

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